Get fast, accurate anomaly detection across any data source with Prelert’s behavioral analytics platform
Behavioral analytics for IT security and operations teams
Prelert’s behavioral analytics platform analyzes log data from a variety of data stores, finds anomalies that can indicate advanced cyber threats and IT performance problems. Using machine learning anomaly detection, Prelert offers:
Early Detection of Incidents
Detect advanced threat activity such as data exfiltration and command and control communication in near real-time. Identify IT operations problems before users report them.
Faster Root Cause Discovery
Find the root cause of anomalies faster. Get the full story behind cyberthreats and IT ops issues with algorithms that learn minute-to-minute what is normal for your environment. Involve fewer people in triage and get answers fast.
Reduced False Positives
Because Prelert’s analytics run on log data from a broad set of sources, they are able to consider more context than monitoring tools that rely on a single source. This additional context helps to significantly reduce false positives.
Anomaly Detective API Engine Beta: Put Machine Learning to Work
The Prelert API engine helps you automate the analysis of massive data sets across a wide range of data sources, eliminating manual effort and human error. Downloaded as a software application with a REST API, Prelert analyzes your data and provides anomaly results via the REST API.
100% unsupervised machine learning
Cuts through millions of data points in seconds
Identifies anomalous behavior patterns in near real-time
Ranks anomalies by probability of occurrence
Gives you the actionable insights you need to act quickly
Open REST API and Open Source UI
Log management and search platforms (e.g. Elastic Stack, Sumo Logic)
Big Data Stores (e.g. Hadoop)
Hosted Big Data Stores (e.g. Google Data Store, AWS Red Shift)